Modeling and implementation of an automatic Access control system for secure permises using facial recognition


  • Bopatriciat Boluma Mangata University of Kinshasa
  • Kisiaka Mbambi Faculty of Computer science, University of Reverend Kim
  • Kadima Muamba Faculty of Computer science, University of Reverend Kim
  • Fundji khalaba Departement of Mathematics and Computer science, University of Kinshasa



Embedded system, Biometrics, Access control, Automation, Facial recognition, Pattern recognition


Security is a major concern within companies to prevent access to information by unauthorized persons.  In this work, we are interested in access control through facial recognition. To realize this access control system based on facial recognition, we used an embedded system under Arduino which gives us the possibility to assemble the performances of programming and electronics, more precisely, we programmed electronic systems for the automatic opening of doors without the action of a human being. From a sample of 100 individuals composed of 40 women and 60 men, 75 of whom were registered and 25 non-registered, our access control system obtained the results of 70 true positives, 5 false negatives, 8 false positives and 17 true negatives that constitute our confusion matrix. However, from the set of tests performed we can conclude that multi-modality fusion can be leveraged to increase the performance of the verification system as the verification performance of multimodal systems (feature fusion or score fusion) can be applied to give even better results.


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How to Cite

Boluma Mangata, B., Reagan, Donatien, & Joseph. (2022). Modeling and implementation of an automatic Access control system for secure permises using facial recognition. Journal of Computing Research and Innovation, 7(2), 11–22.



General Computing

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